Responsibilities
- Assist in building and enhancing a machine learning graph compiler for advanced hardware platforms.
- Evaluate and improve the performance of core machine learning workloads across software and hardware layers.
- Develop tools for performance profiling to guide improvements in compiler and runtime systems.
- Work closely with machine learning and systems engineering teams to enable cross-layer optimization.
Benefits
- Offers a competitive salary and comprehensive benefits plan.
- Committed to equal opportunity employment regardless of background.
Compensation
Highly competitive compensation package available
Work Arrangement
On-site — Toronto, Canada
Other
- Employment offer is conditional on the candidate’s eligibility to access U.S. export-controlled technology.
- Compliance with U.S. Export Administration Regulations (EAR) is required, including restrictions related to nationals from specific countries such as those in EAR Country Groups D:1, E1, and E2.
- These export control requirements apply globally, regardless of the applicant’s location.
- Eligibility for employment may depend on citizenship, permanent residency status, or obtaining prior authorization from the U.S. Department of Commerce or other relevant federal agency.
- If compliance with U.S. export laws cannot be met, any offer of employment will be withdrawn.
